Natural language processing for requirements engineering: A systematic mapping study
Natural Language Processing for Requirements Engineering (NLP4RE) is an area of
research and development that seeks to apply natural language processing (NLP) …
research and development that seeks to apply natural language processing (NLP) …
A survey on blockchain acquainted software requirements engineering: model, opportunities, challenges, and future directions
Requirements are the basis of software development practices. Ambiguities in requirements
lead a project to a point of failure or penalize it with a high budget and time for defect …
lead a project to a point of failure or penalize it with a high budget and time for defect …
Automated handling of anaphoric ambiguity in requirements: a multi-solution study
Ambiguity is a pervasive issue in natural-language requirements. A common source of
ambiguity in requirements is when a pronoun is anaphoric. In requirements engineering …
ambiguity in requirements is when a pronoun is anaphoric. In requirements engineering …
Automated prioritization of construction project requirements using machine learning and fuzzy Failure Mode and Effects Analysis (FMEA)
Due to the emergence of risk-based verification practices, requirement prioritization has
gained importance as a task in project requirements management. However, it is …
gained importance as a task in project requirements management. However, it is …
Using domain-specific corpora for improved handling of ambiguity in requirements
Ambiguity in natural-language requirements is a pervasive issue that has been studied by
the requirements engineering community for more than two decades. A fully manual …
the requirements engineering community for more than two decades. A fully manual …
Specification patterns for robotic missions
Mobile and general-purpose robots increasingly support everyday life, requiring
dependable robotics control software. Creating such software mainly amounts to …
dependable robotics control software. Creating such software mainly amounts to …
Ambiguity and tacit knowledge in requirements elicitation interviews
Interviews are the most common and effective means to perform requirements elicitation and
support knowledge transfer between a customer and a requirements analyst. Ambiguity in …
support knowledge transfer between a customer and a requirements analyst. Ambiguity in …
[HTML][HTML] A comprehensive review on resolving ambiguities in natural language processing
A Yadav, A Patel, M Shah - AI Open, 2021 - Elsevier
Natural language processing is a known technology behind the development of some
widely known AI assistants such as: SIRI, Natasha, and Watson. However, NLP is a diverse …
widely known AI assistants such as: SIRI, Natasha, and Watson. However, NLP is a diverse …
The applications of natural language processing (NLP) for software requirement engineering-a systematic literature review
Abstract Natural Language Processing (NLP) is a well-known technique of artificial
intelligence to extract the elements of concerns from raw plain text information. It can be …
intelligence to extract the elements of concerns from raw plain text information. It can be …
[PDF][PDF] A BERT-based transfer learning approach to text classification on software requirements specifications.
In a software development life cycle, software requirements specifications (SRS) written in
an incomprehensible language might hinder the success of the project in later stages. In …
an incomprehensible language might hinder the success of the project in later stages. In …